Machine-learning based irrelevant sentence classifier

This is a computer program that reads a piece of text, like a story or document. It uses a machine-learning model to identify and remove sentences that aren't important or relevant to the main topic. The program then uses this shorter, more focused version of the text to figure out things like the document's main purpose or what category it belongs to.

Why it matters: Filed before the widespread adoption of advanced Large Language Models. LLMs can now efficiently generate tailored training data and perform sophisticated text comprehension, making the core classification and summarization tasks significantly easier to implement.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, training data, ML models

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10